Community-Based View on Diagnostic Imaging at the End of COVID-19 Pandemic: Online Survey-Assisted Study

Published: April 1, 2024

Background: Online survey-based observational cross-sectional study aimed at elucidating experience and attitudes of unstructured population regarding diagnostic imaging. Methods: Invitations to participate were distributed using mixed-mode design deidentified residents aged 18 years older. Main outcome measures included morbidity structure incidence imaging administrations. Results: Respondents (n = 1069) 44.3 ± 14.4 years; 32.8% suffered from cardiovascular diseases (CVD); 9.5% had chronic respiratory pathology; 28.9% considered themselves healthy. with COVID-19 history (49.7%) reported higher rates computed tomography (CT) (p < .0001), magnetic resonance (MRI) .001), ultrasound .05). in CVD respondents shifted administrations towards CT MRI Every tenth respondent received MRI, CT, on paid basis; 29.0% could not pay for procedures; 13.1% unavailable MRI. Professional status significantly affected the pattern modalities availability differed between urban rural areas .0001). History technogenic events predisposed responders overestimate value fluorography Conclusions: Preparedness future pandemics requires development community-based outreach programs focusing people's awareness medical safety value.

Language: Английский

Community-Based View on Diagnostic Imaging at the End of COVID-19 Pandemic: Online Survey-Assisted Study

Diagnostics, Journal Year: 2024, Volume and Issue: 14(12), P. 1269 - 1269

Published: June 15, 2024

(1) Background: An online survey-based observational cross-sectional study aimed at elucidating the experience and attitudes of an unstructured population regarding diagnostic imaging. (2) Methods: Invitations to participate were distributed using mixed-mode design deidentified residents aged 18 years older. Main outcome measures included morbidity structure incidence imaging administrations. (3) Results: Respondents (n = 1069) 44.3 ± 14.4 years; 32.8% suffered from cardiovascular diseases (CVD); 9.5% had chronic respiratory pathology; 28.9% considered themselves healthy. with COVID-19 history (49.7%) reported higher rates computed tomography (CT) (p < 0.0001), magnetic resonance (MRI) 0.001), ultrasound 0.05). in CVD respondents shifted administrations towards CT MRI Every tenth respondent received MRI, CT, on a paid basis; 29.0% could not pay for procedures; 13.1% unavailable MRI. Professional status significantly affected pattern modalities availability differed between urban rural areas 0.0001). History technogenic events predisposed responders overestimate value fluorography (4) Conclusions: Preparedness future pandemics requires development community-based outreach programs focusing people’s awareness medical safety value.

Language: Английский

Clinical Significance and Patterns of Potential Drug–Drug Interactions in Cardiovascular Patients: Focus on Low-Dose Aspirin and Angiotensin-Converting Enzyme Inhibitors

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(15), P. 4289 - 4289

Published: July 23, 2024

Objective: This study assessed the patterns and clinical significance of potential drug–drug interactions (pDDIs) in patients with diseases cardiovascular system. Methods: Electronic health records (EHRs), established 2018–2023, were selected using probability serial nested sampling method (n = 1030). Patients aged 27 to 95 years (65.0% men). Primary diagnosis COVID-19 was present 17 EHRs (1.7%). Medscape Drug Interaction Checker used characterize pDDIs. The Mann–Whitney U test chi-square for statistical analysis. Results: numbers per record ranged from 1 23 T-List 20 P-List. In T-List, 567 drug combinations resulted 3781 P-List, 584 5185 Polypharmacy detected 39.0% versus 65.9% P-List (p-value < 0.05). rates serious monitor-closely pDDIs due ‘aspirin + captopril’ significantly higher than enalapril’ lisinopril’ lower compared corresponding Serious administration aspirin fosinopril, perindopril, ramipril less frequently Conclusions: Obtained data may suggest better patient adherence combinations, which are potentially superior ramipril. An abundance high-order real-world practice warrants development a decision support system aimed at reducing pharmacotherapy-associated risks while integrating pharmacokinetic, pharmacodynamic, pharmacogenetic information.

Language: Английский